Dataset Versions

v2

2021-12-16 3:22pm

Generated on Dec 16, 2021

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 87%
4272Images
Valid Set 13%
616Images
Test Set 0%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Exposure: Between -25% and +25%
Blur: Up to 4.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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